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Aesthetic bewilderment is a kind of common ground in science and art, an engine for new ideas in both disciplines, writes Brazilian artist Vik Muniz in the introduction to a new book of photographs and essays about bacteria by microbiologist Tal Danino. That book, titled Beautiful Bacteria: Encounters in the Microuniverse, was published last week.

Danino collaborated with Muniz on a number of projects—including one that involved making art out of viruses and cancer cells—when Muniz was a visiting artist at MIT. “I think that scientists oftentimes see a beautiful pattern and wonder about the underlying processes that make such a pattern happen,” says Danino when I ask him what aesthetic bewilderment means to him. Take the complex architectures of the snowflake, the markings on the coats of animals, or the fractal-like arrangements produced by some communities of microbes. “I think that there’s a lot of scientific work that just begins with a scientist saying, ‘Wow, this is such a cool pattern or dynamic process and I really want to study it,’” he says.

Two of San Francisco’s leading players in artificial intelligence have challenged the public to come up with questions capable of testing the capabilities of large language models (LLMs) like Google Gemini and OpenAI’s o1. Scale AI, which specializes in preparing the vast tracts of data on which the LLMs are trained, teamed up with the Center for AI Safety (CAIS) to launch the initiative, Humanity’s Last Exam.

Featuring prizes of US$5,000 (£3,800) for those who come up with the top 50 questions selected for the test, Scale and CAIS say the goal is to test how close we are to achieving “expert-level AI systems” using the “largest, broadest coalition of experts in history.”

Why do this? The leading LLMs are already acing many established tests in intelligence, mathematics and law, but it’s hard to be sure how meaningful this is. In many cases, they may have pre-learned the answers due to the gargantuan quantities of data on which they are trained, including a significant percentage of everything on the internet.

Billionaires are backing top scientists racing to develop tech that could reverse aging. Cellular reprogramming promises to rejuvenate the body… but how does it work, and is it safe?

00:00 – Introduction.
00:55 – The Role Of Stem Cells.
02:33 – What Is Aging?
03:24 – What Is Cellular Reprogramming?
03:56 – How The Yamanaka Factors Can Rejuvenate Cells.
05:35 – Why Scientists Want To Partially Reprogram Cells.
06:28 – How Humans Could Become More Resilient To Age-Related Diseases.
07:00 – How Johnny Huard Uses Cellular Reprogramming.
08:10 – How Cellular Reprogramming Could Shape The Future.
08:38 – Amazon’s Jeff Bezos Is Investing Billions With Altos Labs.
09:02 – How Harvard Professor David Sinclair Used Cellular Reprogramming on Mice.
10:07 – ChatGPT’s Sam Altman Launched Retro. Biosciences.
10:57 – The Risks of Cellular Reprogramming, Including Cancer.
12:56 – How the Tech World Is Investing In Biotech.
13:50 – Credits.

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#aging #health #businessinsider.